基于机器视觉的轨道爬行位移智能化测量应用研究OA

Rail creep is a longitudinal displacement phenomenon of railway tracks caused by temperature variations,train starting/braking,and subgrade deformation.The issues it triggers account for about one-third of all railway defects,seriously threatening operational safety.Existing measurement methods(such as the string line method and optical instrument method,et al)suffer from low accuracy and inefficiency,while contact sensors(such as displacement sensors and fiber optic sensing,et al),though more accurate,involve complex installation and maintenance and can compromise operational safety.To address these issues,this study proposes an intelligent measurement system for rail creep displacement based on machine vision.The system can be attached to the mainstream track inspection trolleys used by permanent way departments through a simple mechanical design,significantly reducing equipment costs.By integrating instrument design combinations,it enables vision-based mobile measurement of rail creep,with an operational efficiency of approximately 4-5 km/h.Field test results demonstrate that its accuracy is within±1 mm,meeting monitoring requirements.As a universal system,it can cater to the needs of both high-speed and conventional railways.